基于呼吸法的人体能量代谢检测系统的设计与验证

Q4 Medicine

中国医疗器械杂志 Pub Date : 2025-03-30 DOI:10.12455/j.issn.1671-7104.240546

Chendong Li, Wei Fang, Youcai Wang, Yanyan Chen, Wei Cao, Jun Xu, Yuyang Wang, Fei Yang, Zijun He, Yining Sun

{"title":"基于呼吸法的人体能量代谢检测系统的设计与验证","authors":"Chendong Li, Wei Fang, Youcai Wang, Yanyan Chen, Wei Cao, Jun Xu, Yuyang Wang, Fei Yang, Zijun He, Yining Sun","doi":"10.12455/j.issn.1671-7104.240546","DOIUrl":null,"url":null,"abstract":"Objective: To accurately measure human energy metabolism with high temporal resolution, a respiratory gas analysis system was designed using a breath-by-breath approach.Methods: Firstly, indirect calorimetry was employed in respiratory gas analysis to measure the respiratory flow and concentration signals in real-time. Secondly, oxygen consumption <math><msub><mi>Q</mi><mrow><msub><mrow><mrow><mi>O</mi></mrow></mrow><mn>2</mn></msub></mrow></msub></math> and carbon dioxide production <math><msub><mi>Q</mi><mrow><msub><mrow><mrow><mi>C</mi><mi>O</mi></mrow></mrow><mn>2</mn></msub></mrow></msub></math> were calculated through respiratory characteristic alignment and respiratory signal segmentation. Finally, metabolic indexes were calculated according to the Weir formula. Furthermore, a controlled trial was formulated for validation comparisons with the MGC ULTIMA SYSTEM PFX CARDIO2.Results: The results indicate that the data points of metabolic indexes measured by this system all fall within the confidence interval when compared with those of the MGC.Conclusion: The system has high consistency with the MGC measurement results. Thus, the system can accurately measure metabolism in real-time and provide data support for clinical nutrition assessment and therapy.","PeriodicalId":52535,"journal":{"name":"中国医疗器械杂志","volume":"49 2","pages":"197-203"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Design and Verification of a Human Energy Metabolism Detection System Based on Breath-by-Breath Method].\",\"authors\":\"Chendong Li, Wei Fang, Youcai Wang, Yanyan Chen, Wei Cao, Jun Xu, Yuyang Wang, Fei Yang, Zijun He, Yining Sun\",\"doi\":\"10.12455/j.issn.1671-7104.240546\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: To accurately measure human energy metabolism with high temporal resolution, a respiratory gas analysis system was designed using a breath-by-breath approach.Methods: Firstly, indirect calorimetry was employed in respiratory gas analysis to measure the respiratory flow and concentration signals in real-time. Secondly, oxygen consumption <math><msub><mi>Q</mi><mrow><msub><mrow><mrow><mi>O</mi></mrow></mrow><mn>2</mn></msub></mrow></msub></math> and carbon dioxide production <math><msub><mi>Q</mi><mrow><msub><mrow><mrow><mi>C</mi><mi>O</mi></mrow></mrow><mn>2</mn></msub></mrow></msub></math> were calculated through respiratory characteristic alignment and respiratory signal segmentation. Finally, metabolic indexes were calculated according to the Weir formula. Furthermore, a controlled trial was formulated for validation comparisons with the MGC ULTIMA SYSTEM PFX CARDIO2.Results: The results indicate that the data points of metabolic indexes measured by this system all fall within the confidence interval when compared with those of the MGC.Conclusion: The system has high consistency with the MGC measurement results. Thus, the system can accurately measure metabolism in real-time and provide data support for clinical nutrition assessment and therapy.\",\"PeriodicalId\":52535,\"journal\":{\"name\":\"中国医疗器械杂志\",\"volume\":\"49 2\",\"pages\":\"197-203\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中国医疗器械杂志\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.12455/j.issn.1671-7104.240546\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国医疗器械杂志","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.12455/j.issn.1671-7104.240546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}

引用次数: 0

摘要

目的：设计一套呼吸气体分析系统，以准确测量人体能量代谢的高时间分辨率。方法：首先采用间接量热法进行呼吸气体分析，实时测量呼吸流量和浓度信号。其次，通过呼吸特征对齐和呼吸信号分割计算耗氧量QO2和二氧化碳产量QCO2；最后，根据Weir公式计算代谢指标。此外，制定了一项对照试验，以验证与MGC ULTIMA SYSTEM PFX CARDIO2的比较。结果：与MGC相比，该系统测量的代谢指标数据点均在可信区间内。结论：该系统与MGC测定结果具有较高的一致性。因此，该系统可以实时准确地测量新陈代谢，为临床营养评估和治疗提供数据支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

[Design and Verification of a Human Energy Metabolism Detection System Based on Breath-by-Breath Method].

Objective: To accurately measure human energy metabolism with high temporal resolution, a respiratory gas analysis system was designed using a breath-by-breath approach.

Methods: Firstly, indirect calorimetry was employed in respiratory gas analysis to measure the respiratory flow and concentration signals in real-time. Secondly, oxygen consumption $Q_{O_{2}}$ and carbon dioxide production $Q_{{C O}_{2}}$ were calculated through respiratory characteristic alignment and respiratory signal segmentation. Finally, metabolic indexes were calculated according to the Weir formula. Furthermore, a controlled trial was formulated for validation comparisons with the MGC ULTIMA SYSTEM PFX CARDIO2.

Results: The results indicate that the data points of metabolic indexes measured by this system all fall within the confidence interval when compared with those of the MGC.

Conclusion: The system has high consistency with the MGC measurement results. Thus, the system can accurately measure metabolism in real-time and provide data support for clinical nutrition assessment and therapy.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

中国医疗器械杂志 Medicine-Medicine (all)

CiteScore

0.40

自引率

0.00%

发文量

8086

期刊介绍： Chinese Journal of Medical Instrumentation mainly reports on the development, progress, research and development, production, clinical application, management, and maintenance of medical devices and biomedical engineering. Its aim is to promote the exchange of information on medical devices and biomedical engineering in China and turn the journal into a high-quality academic journal that leads academic directions and advocates academic debates.